[HTML][HTML] Deep Learning applications for COVID-19
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
[HTML][HTML] Forecasting with trees
The prevalence of approaches based on gradient boosted trees among the top contestants
in the M5 competition is potentially the most eye-catching result. Tree-based methods out …
in the M5 competition is potentially the most eye-catching result. Tree-based methods out …
Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
[HTML][HTML] Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia
have spread over the world, killing millions of people. Medical specialists have experienced …
have spread over the world, killing millions of people. Medical specialists have experienced …
Physics-integrated variational autoencoders for robust and interpretable generative modeling
N Takeishi, A Kalousis - Advances in Neural Information …, 2021 - proceedings.neurips.cc
Integrating physics models within machine learning models holds considerable promise
toward learning robust models with improved interpretability and abilities to extrapolate. In …
toward learning robust models with improved interpretability and abilities to extrapolate. In …
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
A golden decade of deep learning: Computing systems & applications
J Dean - Daedalus, 2022 - direct.mit.edu
The past decade has seen tremendous progress in the field of artificial intelligence thanks to
the resurgence of neural networks through deep learning. This has helped improve the …
the resurgence of neural networks through deep learning. This has helped improve the …
Social impact and governance of AI and neurotechnologies
Advances in artificial intelligence (AI) and brain science are going to have a huge impact on
society. While technologies based on those advances can provide enormous social benefits …
society. While technologies based on those advances can provide enormous social benefits …
[HTML][HTML] AI for science: predicting infectious diseases
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …